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Papers matching “process robustness” 149

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Configuring Large Reasoning Models Using Process Mining: A Benchmark and a Case Study
2026 Lecture notes in business information processing book-chapter Computer Science Topic Modeling Open access

Alessandro Berti, Humam Kourani, Gyunam Park, Wil M. P. van der Aalst

2

citations
Probabilistic Robust Linear Quadratic Regulators with Gaussian Processes
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Alexander von Rohr, Matthias Neumann-Brosig, Sebastian Trimpe

10

citations
Improving the Robustness of Large Language Models via Consistency Alignment
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Zhao Yukun, Lingyong Yan, Weiwei Sun, Guoliang Xing, Wang Shuaiqiang, Chong Meng, +3 more

4

citations
Robust optimization and variants of the scheduling problem
2026 RWTH Publications (RWTH Aachen) dissertation Computer Science Complexity and Algorithms in Graphs Open access

Jenny Segschneider

0

citations
Combinatorial robustness testing based on error-constraints
2021 RWTH Publications (RWTH Aachen) book Computer Science Software Testing and Debugging Techniques Open access

Konrad Fögen

0

citations
LLM-Enhanced Human–Machine Interaction for Adaptive Decision-Making in Dynamic Manufacturing Process Environments
2025 IEEE Access article Computer Science Data Visualization and Analytics Open access

Zozan Keskin, Nils Klasen, Meike Huber, Chang Liu, Benny Drescher, Robert Heinrich Schmitt

29

citations
Fast and Robust QEF Minimization using Probabilistic Quadrics
2020 Computer Graphics Forum article Computer Science Computer Graphics and Visualization Techniques Open access cited by 1 patent

Philip Trettner, Leif P. Kobbelt

25

citations
Robust Shielding for Safe Reinforcement Learning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Edwin Hamel-De le Court, Thom Badings, Alessandro Abate, Francesco Belardinelli, Francesco Fabiano

0

citations
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation
2020 International Conference on Automatic Face and Gesture Recognition conference-paper Computer Science Human Pose and Action Recognition Open access cited by 1 patent

Bastian Leibe

20

citations
Market diffusion of Power-to-X fuels in Germany: A cognitive approach with robust reasoning for policy support
2024 Applied Energy article Computer Science Cognitive Science and Mapping Open access

Ali Ebadi Torkayesh, Sandra Venghaus

8

citations
Robust, credible, and interpretable AI-based histopathological prostate cancer grading
2024 medRxiv preprint Computer Science AI in cancer detection Open access

Fabian Westhaeusser, Patrick Fuhlert, Esther Dietrich, Maximilian Lennartz, Robin Khatri, Nico Kaiser, +20 more

1

citations
Bayesian calibration, process modeling and uncertainty quantification in biotechnology
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Laura M. Helleckes, Michael Osthege, Wolfgang Wiechert, Eric von Lieres, Marco Oldiges

4

citations
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation
2020 IEEE Transactions on Biometrics Behavior and Identity Science article Computer Science Human Pose and Action Recognition Open access cited by 1 patent

104

citations
A robust method for automatic identification of femoral landmarks, axes, planes and bone coordinate systems using surface models
2020 Scientific Reports article Computer Science Medical Image Segmentation Techniques Open access

Maximilian Fischer, Sonja A. G. A. Grothues, Juliana Habor, Matias de la Fuente, Klaus Radermacher

36

citations
Readapting PhaseNet to Laboratory Earthquakes: AEsNet, a Robust Acoustic Emission Picker Illuminating Seismic Signatures of Different Fault Gouge Materials
2025 Seismological Research Letters article Computer Science Seismology and Earthquake Studies Open access

Giacomo Mastella, Federico Pignalberi, Marco Maria Scuderi

2

citations
Fast and robust Bayesian inference using Gaussian processes with GPry
2023 Journal of Cosmology and Astroparticle Physics article Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

21

citations
Fast and robust Bayesian Inference using Gaussian Processes with GPry
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

1

citations
Denoising Diffusion Recommender Model
2024 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng

0

citations
Translationale Modellierung der Wirksamkeit von Medikamenten in Krebspatienten
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Computational Drug Discovery Methods Open access

Lisa-Katrin Schätzle

0

citations
A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer
2025 Medical Image Analysis article Computer Science AI in cancer detection Open access

Patrick Fuhlert, Fabian Westhaeusser, Esther Dietrich, Maximilian Lennartz, Robin Khatri, Nico Kaiser, +19 more

3

citations
Concept Extraction for Time Series with ECLAD-ts
2025 Communications in computer and information science conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Antonia Holzapfel, Sebastian Trimpe

1

citations
Methodological challenges in translational drug response modeling in cancer: A systematic analysis with FORESEE
2020 PLoS Computational Biology article Computer Science Computational Drug Discovery Methods Open access cited by 1 patent

Lisa-Katrin Schätzle, Ali Hadizadeh Esfahani, Andreas Schuppert

16

citations
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series
2023 Symmetry article Computer Science Bayesian Modeling and Causal Inference Open access

Zhipeng Ma, Marco Kemmerling, Daniel Buschmann, Chrismarie Enslin, Daniel Lütticke, Robert Heinrich Schmitt

7

citations
Turbocharger Control for Emission Reduction Based on Deep Reinforcement Learning
2023 IFAC-PapersOnLine article Computer Science Reinforcement Learning in Robotics Open access

Mario Picerno, Lucas Koch, Kevin Badalian, Sung-Yong Lee, Jakob Andert

6

citations
Application of RL in control systems using the example of a rotatory inverted pendulum
2024 conference-paper Computer Science Reinforcement Learning in Robotics Open access

René Rütters, Michael Bragard

0

citations